Author

Mirena Ivanova

Technical University of DenmarkORCID 0000-0002-0077-5207Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 2 Assay:whole-genome sequencing· 2 Organism:bacteria (other)· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:metagenomics· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Pimlapas LeekitcharoenphoniD· 3 shared Alexander GmeineriD· 2 shared Saria OtaniiD· 2 shared Emilie Egholm Bruun JenseniD· 1 shared Frank M. AarestrupiD· 1 shared Idrissa DiawaraiD· 1 shared Joseph NyandwiiD· 1 shared Leonid ChindelevitchiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 28 mutual co-author links

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3 shared papersBioinformatics

Pimlapas LeekitcharoenphonORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Syndromic cholera diagnosis masks diverse causes of diarrhoeal disease in Burundi revealed by portable metagenomics

Emilie Egholm Bruun Jensen, Néhémie Nzoyikorera, Mirena Ivanova, Pimlapas Leekitcharoenphon, Marie Noelle Uwineza, Idrissa Diawara, Joseph Nyandwi, Frank M. Aarestrup, Saria Otani

This study uses portable metagenomics to identify diverse pathogens in diarrhoeal samples from Burundi, revealing that many suspected cholera cases are caused by other bacteria like Escherichia coli.

PLoS neglected tropical diseases · Sep 1, 2026Peer-reviewedMicrobiology

ListPred: A predictive ML tool for virulence potential and disinfectant tolerance in Listeria monocytogenes

Alexander Gmeiner, Mirena Ivanova, Rolf Sommer Kaas, Yinghua Xiao, Saria Otani, Pimlapas Leekitcharoenphon

ListPred predicts virulence potential and disinfectant tolerance in Listeria monocytogenes using WGS data with minimal computational resources and expertise.

bioRxiv · Jan 29, 2024 · PreprintBioinformatics

Quantitative prediction of disinfectant tolerance in Listeria monocytogenes using whole genome sequencing and machine learning

Alexander Gmeiner, Mirena Ivanova, Patrick Murigu Kamau Njage, Lisbeth Truelstrup Hansen, Leonid Chindelevitch, Pimlapas Leekitcharoenphon

This paper predicts disinfectant tolerance in Listeria monocytogenes using whole genome sequencing and machine learning, achieving high accuracy in classification and regression tasks.

bioRxiv · Nov 5, 2023 · PreprintBioinformatics